IEEE

MultiSenseSeg: A Cost-Effective Unified Multimodal Semantic Segmentation Model for Remote Sensing

Abstract: Semantic segmentation is an essential technique in remote sensing. Until recently, most related research has focused primarily on advancing semantic segmentation models based on monomodal ...
eLife

Neural coding of multiple motion speeds in visual cortical area MT

Neuronal responses in cortical area MT to two speeds show a robust bias toward the faster speed when stimulus speeds are slow, which could benefit figure-ground segregation in natural scenes.
GitHub

Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)

Regarding large volume of data requests recently, due to the original website of SUN-database (http://amed8k.sundatabase.org/) is no longer maintained. Suggest you ...
IEEE

A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...